Download e-book for kindle: Advanced Signal Processing Handbook: Theory and by Stergios Stergiopoulos

By Stergios Stergiopoulos

ISBN-10: 0849336910

ISBN-13: 9780849336911

Advances in electronic sign processing algorithms and desktop know-how have mixed to supply real-time structures with services some distance past these of simply few years in the past. Nonlinear, adaptive tools for sign processing have emerged to supply larger array achieve functionality, even if, they lack the robustness of traditional algorithms. The problem is still to strengthen an idea that exploits the benefits of both-a scheme that integrates those tools in sensible, real-time systems.

The complex sign Processing instruction manual is helping you meet that problem. past supplying a great creation to the rules and purposes of complicated sign processing, it develops a regularly occurring processing constitution that takes benefit of the similarities that exist between radar, sonar, and clinical imaging structures and integrates traditional and nonlinear processing schemes.

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Read or Download Advanced Signal Processing Handbook: Theory and Implementation for Radar, Sonar, and Medical Imaging Real Time Systems (Electrical Engineering & Applied Signal Processing Series) PDF

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Extra resources for Advanced Signal Processing Handbook: Theory and Implementation for Radar, Sonar, and Medical Imaging Real Time Systems (Electrical Engineering & Applied Signal Processing Series)

Sample text

Since a single sensor system with an f very low false alarm rate is rarely available, current developments in sonar, radar, and medical imaging systems include multi-sensor configurations to minimize the false alarm rates. Then the multi-sensor data fusion process becomes highly essential. Although data fusion and databases have not been implemented yet in medical imaging systems, their potential use in this area will undoubtedly be a rapidly evolving R&D subject in the near future. Then system experience in the areas of sonar and radar systems would be a valuable asset in that regard.

Remote Sensing, 32, 768–778, 1994. 38. J. , Wavelets and image fusion, Proc. SPIE, 2569, 208–219, 1995. 39. D. Kundur and D. Hatzinakos, Blind image deconvolution, Signal Processing Magazine, 13, 43–64, May 1996. 40. , Chelmsford, MA, 1998. 41. S. Stergiopoulos, R. Alterson, D. Havelock, and J. Grodski, Acoustic Tomography Methods for 3D Imaging of Shallow Buried Objects, 139th Meeting of the Acoustical Society of America, Atlanta, GA, May 2000. 1 The Filtering Problem The term “filter” is often used to describe a device in the form of a piece of physical hardware or software that is applied to a set of noisy data in order to extract information about a prescribed quantity of interest.

Slaney, Principles of Computerized Tomography Imaging, IEEE Press, New York, 1992. 8. D. C. Kak, Ultrasonic Diffraction Imaging, TR-EE 82–80, Department of Electrical Engineering, Purdue University, West Lafayette, IN, August 1982. 9. W. Flax and M. O’Donnell, Phase-aberration correction using signals from point reflectors and diffuse scatterers: basic principles, IEEE Trans. Ultrasonics, Ferroelectrics Frequency Control, 35(6), 758–767, 1988. 10. C. S. D. E. Trahey, A comparative evaluation of several algorithms for phase aberration correction, IEEE Trans.

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Advanced Signal Processing Handbook: Theory and Implementation for Radar, Sonar, and Medical Imaging Real Time Systems (Electrical Engineering & Applied Signal Processing Series) by Stergios Stergiopoulos

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